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aegisops-ai

aegisops-ai is a skill for Claude Code from iradoweck/antigravity-awesome-skills. It costs 41 tokens per session (1,254 once invoked), scanned A, a copy of aegisops-ai, MIT.

An automated DevSecOps and FinOps audit workflow for Linux kernel patches, Terraform plans, and Kubernetes configurations. DevSecOps combines development, security, and operations; FinOps manages cloud spending.

In plain words
What is it for?
Use it to review C-based Linux kernel patches, detect cost changes in Terraform plans, create least-privilege Kubernetes security settings, and gate CI/CD merges with GitHub Actions.
Why use it?
It checks selected security, infrastructure-cost, and Kubernetes-compliance risks before changes are applied or merged. Its scope is specialized and is not intended for general web-application security scanning.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-awesome-skills plugin — 196 skills shipped together

not rated 30repo changed 8d ago A scan 41 tokens copy · 100% MIT

Good fit Use it to review C-based Linux kernel patches, detect cost changes in Terraform plans, create least-privilege Kubernetes security settings, and gate CI/CD merges with GitHub Actions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iradoweck/antigravity-awesome-skills/aegisops-ai
View source ↗ iradoweck/antigravity-awesome-skills sickn33.github.io
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add iradoweck/antigravity-awesome-skills --skill aegisops-ai
Clone the repo
git clone --depth 1 https://github.com/iradoweck/antigravity-awesome-skills

Made for: Claude Code.

Or install agentic-awesome-skills, the plugin that ships this one along with the rest of its 196 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for aegisops-ai

README.md
[![agentmods](https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/aegisops-ai/github.svg)](https://agentmods.dev/skills/iradoweck/antigravity-awesome-skills/aegisops-ai)
Your own site
<a href="https://agentmods.dev/skills/iradoweck/antigravity-awesome-skills/aegisops-ai"><img src="https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/aegisops-ai/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for aegisops-ai

Your own site · 80×15
<a href="https://agentmods.dev/skills/iradoweck/antigravity-awesome-skills/aegisops-ai"><img src="https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/aegisops-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,254 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.01254
Opus 5 $0.00020 $0.00627
Sonnet 5 $0.00008 $0.00251
Haiku 4.5 $0.00004 $0.00125

Measured 8d ago against content hash 3d34873e5ee0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aegisops-ai scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to aegisops-ai — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/agentic-awesome-skills-claude/skills/aegisops-ai/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/aegisops-ai — Autonomous Governance Orchestrator

AegisOps-AI is a professional-grade "Living Pipeline" that integrates advanced AI reasoning directly into the SDLC. It acts as an intelligent gatekeeper for systems-level security, cloud infrastructure costs, and Kubernetes compliance.

Goal

To automate high-stakes security and financial audits by:

  1. Identifying logic-based vulnerabilities (UAF, Stale State) in Linux Kernel patches.
  2. Detecting massive "Silent Disaster" cost drifts in Terraform plans.
  3. Translating natural language security intent into hardened K8s manifests.

When to Use

  • Kernel Patch Review: Auditing raw C-based Git diffs for memory safety.
  • Pre-Apply IaC Audit: Analyzing terraform plan outputs to prevent bill spikes.
  • Cluster Hardening: Generating "Least Privilege" securityContexts for deployments.
  • CI/CD Quality Gating: Blocking non-compliant merges via GitHub Actions.

When Not to Use

  • Web App Logic: Do not use for standard web vulnerabilities (XSS, SQLi); use dedicated SAST scanners.
  • Non-C Memory Analysis: The patch analyzer is optimized for C-logic; avoid using it for high-level languages like Python or JS.
  • Direct Resource Mutation: This is an auditor, not a deployment tool. It does not execute terraform apply or kubectl apply.
  • Post-Mortem Analysis: For analyzing why a previous AI session failed, use /analyze-project instead.

🤖 Generative AI Integration

AegisOps-AI leverages the Google GenAI SDK to implement a "Reasoning Path" for autonomous security and financial audits:

  • Neural Patch Analysis: Performs semantic code reviews of Linux Kernel patches, moving beyond simple pattern matching to understand complex memory state logic.
  • Intelligent Cost Synthesis: Processes raw Terraform plan diffs through a financial reasoning model to detect high-risk resource escalations and "silent" fiscal drifts.
  • Natural Language Policy Mapping: Translates human security intent into syntactically correct, hardened Kubernetes securityContext configurations.

Read the full file on GitHub · 129 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago Changed 3d34873e5ee0
  2. 12d ago First seen · 129 lines · 41 tokens per session scan A 0aa841e2906e

Subscribe to this mod's changes

aegisops-ai is a skill published in the GitHub repository iradoweck/antigravity-awesome-skills (30 stars, last pushed 11d ago), licensed MIT. It adds 41 tokens to every session and 1,254 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to aegisops-ai, differing in 0 lines, and is treated as a copy.

DevOps and cloudSecurity
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